arxiv
PublishedMay 13, 2026 at 4:00 AM
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Sparse-Aware Neural Networks for Nonlinear Functionals: Mitigating the Exponential Dependence on Dimension
Publisher summary· verbatim
arXiv:2604.06774v2 Announce Type: replace-cross Abstract: Deep neural networks have emerged as powerful tools for learning operators defined over infinite-dimensional function spaces. However, existing theories frequently encounter difficulties related to dimensionality and limited interpretability.
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Originally published on arxiv ↗